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Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
0.17
Performance library for Deep Learning
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A descriptor of a Softmax operation. More...
#include <mkldnn_types.h>

Public Attributes | |
| mkldnn_primitive_kind_t | primitive_kind |
| The kind of primitive. More... | |
| mkldnn_prop_kind_t | prop_kind |
| The kind of propagation. More... | |
| mkldnn_memory_desc_t | data_desc |
| Source and destination memory descriptor. More... | |
| mkldnn_memory_desc_t | diff_desc |
| Source and Destination of gradient memory descriptor. More... | |
| int | softmax_axis |
| The axis along which to perform the softmax. More... | |
A descriptor of a Softmax operation.
| mkldnn_primitive_kind_t mkldnn_softmax_desc_t::primitive_kind |
The kind of primitive.
Used for self identifying the primitive descriptor. Must be mkldnn_softmax.
| mkldnn_prop_kind_t mkldnn_softmax_desc_t::prop_kind |
The kind of propagation.
Possible values: mkldnn_forward_training, mkldnn_forward_inference.
| mkldnn_memory_desc_t mkldnn_softmax_desc_t::data_desc |
Source and destination memory descriptor.
| mkldnn_memory_desc_t mkldnn_softmax_desc_t::diff_desc |
Source and Destination of gradient memory descriptor.
| int mkldnn_softmax_desc_t::softmax_axis |
The axis along which to perform the softmax.
1.8.13